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Next, we have the *Cluster Manager*. This component is responsible for allocating resources to your Spark application. It manages the worker nodes in your cluster and assigns tasks to them. Spark supports several cluster managers, including YARN, Mesos, and Spark's own standalone cluster manager.
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While serverless computing is a powerful tool, it's not a silver bullet. It's best suited for applications with specific characteristics, such as those that are event-driven, stateless, and have variable workloads. For other types of applications, a more traditional approach may be more appropriate. Still, serverless computing represents a significant step forward in simplifying infrastructure management and enabling developers to focus on what they do best: writing code.